<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2448-8909</journal-id>
<journal-title><![CDATA[Medicina crítica (Colegio Mexicano de Medicina Crítica)]]></journal-title>
<abbrev-journal-title><![CDATA[Med. crít. (Col. Mex. Med. Crít.)]]></abbrev-journal-title>
<issn>2448-8909</issn>
<publisher>
<publisher-name><![CDATA[Colegio Mexicano de Medicina Crítica A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2448-89092024000100014</article-id>
<article-id pub-id-type="doi">10.35366/115676</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Escala Quick COVID-19 Severity Index y National Early Warning Score 2 en pacientes COVID-19 en el servicio de urgencias]]></article-title>
<article-title xml:lang="en"><![CDATA[Quick COVID-19 Severity Index Scale and News 2 in COVID-19 patients in the emergency department]]></article-title>
<article-title xml:lang="pt"><![CDATA[Escala Quick COVID-19 Severity Index y National Early Warning Score 2 em pacientes com COVID-19 na unidade de pronto atendimento]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lugo Ramírez]]></surname>
<given-names><![CDATA[Guillermo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Morales Muñoz]]></surname>
<given-names><![CDATA[Gustavo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[García Jiménez]]></surname>
<given-names><![CDATA[Rigoberto]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes Bautista]]></surname>
<given-names><![CDATA[Miguel Ángel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ávalos Díaz]]></surname>
<given-names><![CDATA[Cleopatra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Granados Villalpando]]></surname>
<given-names><![CDATA[Jesús Maximiliano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,PEMEX Hospital Regional ]]></institution>
<addr-line><![CDATA[Villahermosa Tabasco]]></addr-line>
<country>México</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Juárez Autónoma de Tabasco  ]]></institution>
<addr-line><![CDATA[Villahermosa Tabasco]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2024</year>
</pub-date>
<volume>38</volume>
<numero>1</numero>
<fpage>14</fpage>
<lpage>19</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2448-89092024000100014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2448-89092024000100014&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2448-89092024000100014&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:  Introducción:  el uso de diferentes escalas pronósticas de mortalidad y severidad, como la National Early Warning Score 2 (NEWS 2), proporcionan una manera rápida, sencilla y fiable para identificar pacientes que requieren atención intrahospitalaria, predecir mortalidad y severidad. A consecuencia de la pandemia, han surgido nuevas escalas clínicas, como la Quick COVID-19 Severity Index (qCSI), que pueden implementarse en la atención de los pacientes para mejorar la toma de decisiones desde el primer contacto en el servicio de urgencias.  Objetivo:  comparar la escala Quick COVID-19 Severity Index y NEWS 2 para predecir la mortalidad y estancia hospitalaria en pacientes con COVID-19 atendidos en el servicio de urgencias.  Material y métodos:  se utilizó un intervalo de confianza al 95% y un significado p &gt; 0.05. Se calculó la medida de riesgo OR para la mortalidad y sitio de hospitalización. De igual manera, se calculó la sensibilidad, especificidad, valor predictivo positivo y negativo de las escalas.  Resultados:  qCSI presentó una sensibilidad de 83% y especificidad de 42% en comparación de la escala NEWS 2 con 63 y 25%, respectivamente, por lo que tiene una mayor probabilidad de que el paciente con infección por COVID-19 sea estratificado correctamente como grave y necesidad de ingreso hospitalario.  Conclusiones:  los médicos de primer contacto de urgencias deben contar con herramientas validadas para predecir mortalidad y días de hospitalización en los pacientes con COVID-19. Con lo cual se espera generar un impacto positivo en la planificación y uso efectivo de los recursos humanos y materiales para la atención de estos pacientes.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Introduction:  the use of different mortality and severity prognostic scales provide a quick, simple and reliable way to identify patients requiring in-hospital care, predict mortality and severity such as the National Early Warning Score 2 (NEWS 2). New clinical scales have emerged as a result of the pandemic such as the Quick COVID-19 Severity Index (qCSI) that can be implemented in patient care to improve decision making from the first contact in the emergency department.  Objective:  compare the Quick COVID-19 Severity Index scale and NEWS 2 to predict mortality and hospital stay in patients with COVID-19 treated in the emergency department.  Material and methods:  a 95% confidence interval and a significance p &gt; 0.05 were used. The OR risk measure for mortality and hospitalization site was calculated. In the same way, the sensitivity, specificity, positive and negative predictive value of the scales were calculated.  Results:  qCSI presented a sensitivity of 83% and a specificity of 42% compared to the NEWS 2 scale with 63% and 25% respectively, so it has a higher probability that the patient with COVID-19 infection will be correctly stratified and the hospital admission.  Conclusions:  first contact emergency physicians must have validated tools to predict mortality and days of hospitalization in patients with COVID-19. With which it is expected to generate a positive impact in the planning and effective use of human and material resources for the care of these patients.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo:  Introdução:  a utilização de diferentes escalas prognósticas de mortalidade e gravidade proporciona uma maneira rápida, simples e confiável de identificar pacientes que necessitam de cuidados hospitalares, prever mortalidade e gravidade, como National Early Warning Score 2 (NEWS 2); surgiram novas escalas clínicas como resultado da pandemia como a Quick COVID-19 Severity Index (qCSI) que podem ser implementadas no atendimento ao paciente para melhorar a tomada de decisão desde o primeiro contato na unidade de pronto atendimento.  Objetivo:  comparar a escala Quick COVID-19 Severity Index e NEWS 2 para prever mortalidade e internação hospitalar em pacientes com COVID-19 atendidos na unidade de pronto atendimento.  Material e métodos:  utilizou-se intervalo de confiança de 95% e significância de p &gt; 0.05. Calculou-se a medida de risco de OR para mortalidade e local de internação. Da mesma forma, foram calculados a sensibilidade, a especificidade, o valor preditivo positivo e negativo das escalas.  Resultados:  qCSI apresentou sensibilidade de 83% e especificidade de 42% em comparação à escala NEWS 2 com 63% e 25% respectivamente, portanto tem maior probabilidade de o paciente com infecção por COVID-19 ser corretamente estratificado como grave e necessitando admissão hospitalar.  Conclusões:  os médicos de primeiro contato da unidade de pronto atendimento devem ter ferramentas validadas para prever a mortalidade e os dias de hospitalização em pacientes com COVID-19. Com o qual se espera gerar impacto positivo no planejamento e utilização eficaz de recursos humanos e materiais para o cuidado desses pacientes.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[escalas pronósticas]]></kwd>
<kwd lng="es"><![CDATA[qCSI]]></kwd>
<kwd lng="es"><![CDATA[NEWS 2]]></kwd>
<kwd lng="es"><![CDATA[emergencias]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[qCSI]]></kwd>
<kwd lng="en"><![CDATA[NEWS 2]]></kwd>
<kwd lng="en"><![CDATA[risk scores]]></kwd>
<kwd lng="en"><![CDATA[emergency]]></kwd>
<kwd lng="pt"><![CDATA[COVID-19]]></kwd>
<kwd lng="pt"><![CDATA[escalas prognósticas]]></kwd>
<kwd lng="pt"><![CDATA[qCSI]]></kwd>
<kwd lng="pt"><![CDATA[NEWS 2]]></kwd>
<kwd lng="pt"><![CDATA[unidade de pronto atendimento]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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